Article
Management
Nicole DeHoratius, Andreas Holzapfel, Heinrich Kuhn, AAdam J. Mersereau, Michael Sternbeck
Summary: This study compares rule-based and model-based approaches for detecting inventory record inaccuracy and unknown out of stocks in a retail store. The results show that model-based approaches provide versatile visibility into inventory states, while rule-based approaches are effective when matched to the retailer's goal. High-activity rule-based policies are more effective at detecting inventory discrepancies, while low-activity rule-based policies are better at detecting unknown out of stocks.
M&SOM-MANUFACTURING & SERVICE OPERATIONS MANAGEMENT
(2022)
Article
Geochemistry & Geophysics
Milton Percy Plasencia Linares, Claudio Cravos, Roberto Laterza, Paolo Bernardi, Paolo Comelli, Maurizio Grossi, Andrea Magrin, Damiano Pesaresi, Denis Sandron, Marco Santulin, Monica Sugan, Alessandro Vuan, Stefano Parolai
Summary: ASAIN is a permanent seismic network in the Antarctic region with seven stations providing data to multiple research institutions, enhancing global detection capabilities.
SEISMOLOGICAL RESEARCH LETTERS
(2021)
Article
Engineering, Marine
Yongjin Sun, Wei Zheng, Zhaowei Li, Zhiquan Zhou, Xiaocong Zhou
Summary: The use of satellite altimetry enables rapid acquisition of seafloor topography on a wide range of regional scales by recovering marine gravity anomalies. Current approaches for inverting seafloor topography have focused on linear correlation, neglecting the impact of density contrast between crust and seawater on depth. This study introduces a variable density and topography constraint combined modification (VDTCCM) method to recover topography-related nonlinear terms of gravity anomalies, and evaluates the accuracy of the seafloor topography model using shipborne sounding data (SSD). The results show that the VDTCCM method outperforms the common international models and provides more detailed topographical features, indicating its potential for large regional scale seafloor topography modeling.
JOURNAL OF MARINE SCIENCE AND ENGINEERING
(2023)
Article
Environmental Sciences
Yifan Shen, Wei Zheng, Wenjie Yin, Aigong Xu, Huizhong Zhu, Qingqing Wang, Zhiwei Chen
Summary: This study improves the accuracy of terrestrial water storage anomaly (TWSA) inversion in regions with unevenly distributed Global Navigation Satellite System (GNSS) stations by constructing a new deep learning weight loading inversion model (DWLIM). The results show that DWLIM has higher accuracy compared to the traditional GNSS inversion method, and there are seasonal signals in the TWSA variations in river basins in mainland China.
Article
Energy & Fuels
Zuo Dong, Xianjia Wang, Runzhou Zhu, Xuan Dong, Xueshan Ai
Summary: Hourly wind speed analysis is crucial for improving the accuracy of wind speed characterization and guiding the hourly operation of wind farms, outperforming annual wind speed series analysis. Gamma distribution shows better performance than the other three distributions in characterizing the hourly wind speed series.
Article
Agronomy
Ziyang Yu, Xinle Zhang, Huanjun Liu, Zhongchen Zhang, Linghua Meng, Yu Han, Lvping Lu
Summary: This study measured the spectral reflectance and SPAD values of rice leaves at different growth stages and analyzed the correlation between various parameters. By considering the influence of leaf water content, the accuracy of SPAD estimation may be enhanced. The findings provide technical support for estimating SPAD in rice leaves with high accuracy and for developing chlorophyll tachistoscopes.
Article
Automation & Control Systems
Ziling Wang, Lai Zou, Yilin Mu, Heng Li, Wenxi Wang, Yun Huang
Summary: This paper proposes a novel region-based force control strategy for achieving high-precision grinding. By considering regional division and calculating ideal grinding force, the traditional robotic belt grinding method is improved. An adaptive impedance controller is also designed to enhance force control accuracy. Experimental results demonstrate the effectiveness and advantages of this approach.
IEEE-ASME TRANSACTIONS ON MECHATRONICS
(2023)
Article
Geochemistry & Geophysics
Jun Zhou, Hu Yang, Robbie Iacovazzi
Summary: One of the challenges in fusing observations from multiple spaceborne microwave sensors is the nonuniform spatial resolution. This study proposes an adaptive window method to provide sufficient information for reconstruction and a new noise tuning method to eliminate noise caused by the sensor's scanning manner. Results show significant reduction in bias and improvement in resolution enhancement capability.
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING
(2022)
Article
Geochemistry & Geophysics
Carlos Mendoza, M. Rosario Martinez-Lopez
Summary: The study emphasizes the importance of accurate estimation of fault dip in deriving rupture models using teleseismic body waves in the Guerrero-Oaxaca portion of the Mexico subduction zone. The best-fit teleseismic source models for different earthquake events show varying degrees of spatial detail, with non-overlapping areas of high interplate slip, suggesting an adjoining pattern of asperity zones similar to other regions. Further investigation of this type of asperity interaction for recurrent events would be beneficial for estimating the size and location of future large subduction earthquakes.
SEISMOLOGICAL RESEARCH LETTERS
(2021)
Article
Computer Science, Information Systems
Jae Wan Park, Ha Xuan Nguyen, Thuong Ngoc-Cong Tran, Jae Wook Jeon
Summary: This paper proposes a linear compensator algorithm to improve the performance of an absolute multipolar magnetic encoder. The method consists of two parts for phase calculation and calibration, as well as for removing the phase difference via the pole-pitch difference of the multipolar magnet. Experimental results confirm the effectiveness of the proposed method.
Article
Environmental Sciences
Xunhe Zhang, Mojtaba Zeraatpisheh, Md Mizanur Rahman, Shujian Wang, Ming Xu
Summary: PV technology is on the rise due to climate change, with many countries turning to PV power plants for electricity generation. This study used a random forest model to map PV power plants, showcasing the importance of textural features from GLCM in enhancing identification accuracy. The addition of texture features significantly improved model performance, highlighting the potential for improved accuracy in identifying PV power plants using remote sensing data.
Article
Chemistry, Physical
Michael J. Bakker, Arnost Mladek, Hugo Semrad, Vojtech Zapletal, Jana Pavlikova Precechtelova
Summary: This work extends the computational scheme for calculating Nuclear Magnetic Resonance (NMR) chemical shifts (CSs) in proteins with a lack of well-defined 3D structure. The scheme combines classical molecular dynamics (MD) with protein fragmentation and density functional theory (DFT) calculations. Partial geometry optimization and machine-learning based cluster analysis were performed to improve accuracy and reduce computational cost. The results showed that the cluster-based calculations yielded accurate ensemble averages with reduced computational time.
PHYSICAL CHEMISTRY CHEMICAL PHYSICS
(2022)
Article
Computer Science, Information Systems
Md Fashiar Rahman, Yan Zhuang, Tzu-Liang (Bill) Tseng, Michael Pokojovy, Peter McCaffrey, Eric Walser, Scott Moen, Alex Vo
Summary: We propose a deep learning framework that improves the accuracy of lung region segmentation in Chest X-Ray (CXR) images. The framework divides the original CXRs into smaller patches, segments them individually, and then reassembles them to achieve complete segmentation. The framework combines two models, a CNN for classification and merging of image patches, and a modified U-Net architecture for patch segmentation and combination. The proposed framework outperforms state-of-the-art methods in the literature, as demonstrated on multiple datasets.
JOURNAL OF VISUAL COMMUNICATION AND IMAGE REPRESENTATION
(2022)
Article
Optics
Siqi Wang, Bingcai Liu, Hongjun Wang, Yahui Zhu, Kai Wang, Kexin Ren, Yuwen Zhang, Ailing Tian
Summary: This paper proposes a polarization redundant sub-region interpolation (PRSI) method to solve the problem of low spatial resolution in simultaneous phase-shifted lateral shearing interferometry. By calculating the polarization redundancy error of the synchronous phase shift interferogram, this method can distinguish smooth regions from stripe fringe regions and achieve accurate pixel reconstruction and stripe detail information recovery.
Article
Environmental Sciences
Houda Badda, El Khalil Cherif, Hakim Boulaassal, Miriam Wahbi, Otmane Yazidi Alaoui, Mustapha Maatouk, Alexandre Bernardino, Franco Coren, Omar El Kharki
Summary: This study proposes a method that combines remote sensing and machine learning techniques to detect burned areas in the Tangier-Tetouan-Al Hoceima (TTA) region in northern Morocco. By analyzing and studying specific locations in the region, the combination of dNBR index and other spectral indices achieved the highest accuracy, enhancing fire monitoring and response capabilities.
Article
Geochemistry & Geophysics
E. D. Kaestle, I Molinari, L. Boschi, E. Kissling
Summary: Ambient-noise records from the AlpArray network are used to measure Rayleigh wave phase velocities between a large number of station pairs, obtaining azimuthally anisotropic phase-velocity maps. Bias in the psi(2) anisotropy is studied through synthetic tests, revealing errors related to interference and sparse sampling. The result highlights robust anisotropic structures in different regions of the Alps, affected by velocity heterogeneities and depth variations.
GEOPHYSICAL JOURNAL INTERNATIONAL
(2022)
Article
Geosciences, Multidisciplinary
M. Tesch, J. Stampa, T. Meier, E. Kissling, G. Hetenyi, W. Friederich, M. Weber, B. Heit
Summary: The AlpArray experiment and the Swath-D deployment in Italy allow for detailed imaging of seismic wave-fields in the Alpine region, showing multi-reflected body waves and high spatio-temporal variability. The dense station distributions provide recordings with high lateral resolution, showcasing shorter period body and surface wave features. The acquired datasets reveal the complexity of seismic wave-fields and require appropriate quantitative methods for exploration.
INTERNATIONAL JOURNAL OF EARTH SCIENCES
(2022)
Article
Multidisciplinary Sciences
D. Bandou, F. Schlunegger, E. Kissling, U. Marti, M. Schwenk, P. Schlafli, G. Douillet, D. Mair
Summary: This study used gravity data and 3D gravity modeling software to infer the geometry of glacial overdeepenings on the Swiss Plateau near Bern. The models showed U-shaped cross-sectional geometries and steep lateral flanks. Existing stratigraphic data suggested that these overdeepenings were formed during at least two glacial stages, with the MIS 6 glaciers likely causing deeper erosion than the LGM ice sheet. The findings highlight the robust information that can be obtained through the combination of gravity data and forward modeling in understanding landscape development by glaciers.
SCIENTIFIC REPORTS
(2022)
Article
Geochemistry & Geophysics
Jack Woollam, Jannes Muenchmeyer, Frederik Tilmann, Andreas Rietbrock, Dietrich Lange, Thomas Bornstein, Tobias Diehl, Carlo Giunchi, Florian Haslinger, Dario Jozinovi, Alberto Michelini, Joachim Saul, Hugo Soto
Summary: Machine-learning methods have been widely used in seismology, but the current process of accessing benchmark datasets and models is time-consuming, which hinders the further development of machine learning techniques. To address this issue, we introduce SeisBench, an open-source framework that standardizes access to models and datasets and provides common processing and data augmentation operations. With SeisBench, seismologists can easily access various machine learning models and benchmark datasets.
SEISMOLOGICAL RESEARCH LETTERS
(2022)
Article
Multidisciplinary Sciences
Francesco Grigoli, John F. Clinton, Tobias Diehl, Philipp Kaestli, Luca Scarabello, Thorbjorg Agustsdottir, Sigridur Kristjansdottir, Rognvaldur Magnusson, Christopher J. Bean, Marco Broccardo, Simone Cesca, Torsten Dahm, Vala Hjorleifsdottir, Banu Mena Cabrera, Claus Milkereit, Nima Nooshiri, Anne Obermann, Roman Racine, Antonio Pio Rinaldi, Vanille Ritz, Pilar Sanchez-Pastor, Stefan Wiemer
Summary: Induced seismicity is a major factor affecting the acceptance of deep geothermal energy exploitation activities, and this paper presents a valuable dataset obtained from a project aimed at real-time monitoring and forecasting of induced seismicity, which can be widely used in seismological research.
Article
Geochemistry & Geophysics
M. Bagagli, I Molinari, T. Diehl, E. Kissling, D. Giardini
Summary: With the use of the AlpArray Seismic Network, a consistent seismicity-catalogue for the greater Alpine region has been established, providing high-precision hypocentre locations and consistent magnitude estimation. These findings serve as a foundation for future seismic hazard studies and improvements in the region.
GEOPHYSICAL JOURNAL INTERNATIONAL
(2022)
Article
Geochemistry & Geophysics
Timothy Lee, Tobias Diehl, Edi Kissling, Stefan Wiemer
Summary: Seismotectonic interpretations in regions with low to moderate seismicity require consistent earthquake catalogues covering multiple decades. However, changes in network configuration and analysis procedures introduce bias and uncertainty to hypocentre parameters in these catalogues. To address these limitations, we developed a procedure using coupled hypocentre-velocity inversions to compute consistent hypocentre locations while accounting for network geometry changes. We applied these procedures to 35 years of seismicity data along the Rhone-Simplon fault system in southwest Switzerland, revealing the characteristics and distribution of seismic activity in the region.
GEOPHYSICAL JOURNAL INTERNATIONAL
(2023)
Article
Geosciences, Multidisciplinary
M. Buehler, R. Zurbriggen, A. Berger, M. Herwegh, D. Rubatto
Summary: This study investigates a well-preserved Schlingen structure in the Central Swiss Alps, revealing late Carboniferous peak metamorphic conditions and post-Schlingen transpressional deformation. This is significant for understanding the Variscan evolution and the formation of the Alpine belt.
INTERNATIONAL JOURNAL OF EARTH SCIENCES
(2023)
Article
Geochemistry & Geophysics
Tobias Diehl, Herfried Madritsch, Michael Schnellmann, Thomas Spillmann, Elmar Brockmann, Stefan Wiemer
Summary: This study presents a seismotectonic analysis of the Miocene-aged Hegau-Bodensee Graben, revealing the seismic activity and kinematics of the bounding faults. The results suggest that the bounding faults are likely to be reactivated in the present-day stress field. Comparison with historical seismicity indicates the potential for generating moderate earthquakes in this fault zone.
Article
Geosciences, Multidisciplinary
Anne Obermann, Sin-Mei Wu, Thorbjorg Agustsdottir, Alejandro Duran, Tobias Diehl, Pilar Sanchez-Pastor, Sigridur Kristjansdottir, Vala Hjorleifsdottir, Stefan Wiemer, Gylfi Pall Hersir
Summary: In this study, we investigate the shallow crustal structures and seismicity patterns in the Hengill high-enthalpy geothermal area in SW Iceland. Our results show that seismicity in the area is clustered and associated with injection and production activities. Furthermore, we analyze the spatial distribution of rock properties and geophysical anomalies.
FRONTIERS IN EARTH SCIENCE
(2022)
Article
Geochemistry & Geophysics
Sandro Truttmann, Tobias Diehl, Marco Herwegh
Summary: This study presents a novel method for imaging the detailed 3D architectures of seismically active faults based on high-precision hypocenter catalogs using nearest neighbor learning and principal component analysis. The method was applied to the St. Leonard and Anzere microearthquake sequences in the Southwestern Swiss Alps, revealing strike-slip fault systems with interconnecting stepovers at depths of 3-7 km and lengths ranging from 0.5 to 2 km. The proposed method has broad potential applications in monitoring hydraulic fracture stimulations or geothermal exploration of natural, fluid-bearing faults.
JOURNAL OF GEOPHYSICAL RESEARCH-SOLID EARTH
(2023)
Article
Geochemistry & Geophysics
Veronica Peverelli, Alfons Berger, Martin Wille, Thomas Pettke, Pierre Lanari, Igor Maria Villa, Marco Herwegh
Summary: Deformation of polymineralic aggregates can be accommodated by viscous granular flow, with certain minerals undergoing intracrystalline plasticity and dissolution-precipitation under specific conditions. This study investigates the deformation behavior of epidote in granitic rocks deforming under greenschist-facies conditions. Microstructural and geochemical evidence shows dissolution-precipitation of epidote during deformation, along with dynamic recrystallization of quartz and grain boundary sliding. The combined process of grain boundary sliding and dissolution leads to the formation of creep cavities, which not only facilitate the nucleation of new epidote grains but also allow fluid-mediated element transport. Investigating the nature of the fluid involved in deformation, Pb-Sr isotope data suggest the presence of internally recycled fluids and an external fluid component.
Review
Geosciences, Multidisciplinary
Fritz Schlunegger, Edi Kissling
Summary: The stratigraphic development of foreland basins in the European Alps is closely related to the geological changes in the region and the control of slab loads. From 30 to 15 million years ago, the Molasse basin underwent a transition from deep marine to overfilled terrestrial conditions, influenced by subduction processes and slab breakoff.